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      Modelling mould growth risk in English social housing

      Published
      1 , 2 , 2 , 3
      1st International Conference on Moisture in Buildings 2021 (ICMB21)
      28-29 June 2021
      mould, social housing, damp, hygrothermal models
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            Abstract

            Social housing may be at increased risk of damp and subsequent mould growth due to housing characteristics such as poor ventilation and energy efficiency, and occupant fuel poverty. In this study, surface relative humidity and temperature are estimated in flats in a typical low-rise multi-dwelling building in London using the EnergyPlus Heat and Moisture Transport (HAMT) model under different occupant activities. Mould Growth Index (MI) is then estimated using this data. Results indicate that MI is highly influenced by the amount of moisture generated indoors, indoor heating schedule, outdoor climate, and the floor level. Local governments should ensure that residents of social housing have sufficient access to affordable heating and extract fans to reduce mould exposure risk.

            Content

            Author and article information

            Conference
            12 May 2021
            Affiliations
            [1 ] UCL
            [2 ] Tampere University
            [3 ] University Carlos III of Madrid
            Article
            10.14293/ICMB210024
            74cc5d53-f5f6-46fc-9f0f-8ecc95328643
            The Author(s)

            Published under Creative Commons Attribution 4.0 International ( CC BY 4.0). Users are allowed to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), as long as the authors and the publisher are explicitly identified and properly acknowledged as the original source.

            1st International Conference on Moisture in Buildings 2021
            ICMB21
            Online
            28-29 June 2021
            History
            Product

            ScienceOpen


            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Engineering
            mould,social housing,damp,hygrothermal models

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